Wednesday, 5 April 2017

Visit and seminar by Prof Robert Goldstone from Indiana University, Thur April 6

Prof Robert Goldstone from Indiana University is visiting the UoN School of Psychology, and will give a seminar this Thur, April 6, 12-1pm, Keats room. Please find the title and abstract below.

Prof Goldstone is Distinguished Professor in the Psychological and Brain Sciences department and Cognitive Science program at Indiana University. His research interests include concept learning and representation, perceptual learning, educational applications of cognitive science, decision making, collective behavior, and computational modeling of human cognition.  

Mathematical Reasoning as a Literally Physical Symbol System 

Robert Goldstone

Indiana University, Department of Psychological and Brain Science and Program in Cognitive Science

Much of the power of mathematics comes from its generality and ability to unify prime face dissimilar domains.  The same combinatorics formula applies to sealing wax, cabbages, and kings with no customization needed, or even permitted.  By one account, analytic thought in math and science requires developing deep construals of phenomena that run counter to untutored perceptions.  This approach draws an opposition between superficial perception and principled understanding.  In this talk, I advocate the converse strategy of grounding mathematical reasoning in perception and action.  I will describe empirical evidence for perceptual changes that accompany learning in mathematics.  In arithmetic and algebraic reasoning, we find that proficiency involves executing spatially explicit transformations to notational elements.  People learn to attend mathematical operations in the order in which they should be executed, and the extent to which students employ their perceptual attention in this manner is positively correlated with their mathematical experience.  People produce mathematical notations that they are good at reading.  Perception, attention, and action routines are tailored to fit mathematical requirements.  Thus, for reasoning in mathematics (and science, but that’s another talk), relatively sophisticated performance can be achieved not only by ignoring perceptual features in favor of deep conceptual features, but also by adapting perceptual processing so as to conform with and support formally sanctioned responses.  These “Rigged Up Perception and Action Systems” (RUPAS) offer a promising general strategy for achieving educational reform.  Based on the theoretical foundation of RUPAS, we have begun to design, implement, and assess virtual, interactive sandboxes for students to explore algebra.